Title :
Spatial discriminant analysis based on power-elliptic distributions and power transformations
Author :
Nishii, Ryuei ; Morisaki, Yoji
Author_Institution :
Fac. of Integrated Arts & Sci., Hiroshima Univ., Japan
Abstract :
Consider the classification of land-cover categories based on multispectral data. In this study, we transform the observed multivariate data by the Box-Cox transform for accelerating normality. We examine transformations for marginal distributions and for joint distributions. Then, the ordinary classification methods are applied to the transformed data. The method is applied to actual Landsat 5 data, and it is shown that our methods improve classification accuracies
Keywords :
image classification; terrain mapping; transforms; vegetation mapping; Box-Cox transform; Landsat 5 data; accelerating normality; classification; images; joint distributions; land-cover categories; marginal distributions; multispectral data; power transformations; power-elliptic distributions; spatial discriminant analysis; transformed data; Acceleration; Art; Covariance matrix; Gaussian distribution; Maximum likelihood estimation; Performance analysis; Random variables; Remote sensing; Satellites; Stability;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.978232
